G * Power provides effect size calculators and graphicsoptions. 1 shows the main window of the program)covers statistical power analyses for many different statisti-cal tests of the If you cannot find help for your testin this version of the manual, then please check the G*Power website to see if a more up-to-date version of the manualhas been made available.ДЈ Exact: Correlation - Difference from constant (onesample case) 9Д¤ Exact: Proportion - difference from constant (onesample case) 11ДҐ Exact: Proportion - inequality, two dependentgroups (McNemar) 14Д¦ Exact: Proportions - inequality of two independentgroups (Fishers exact-test) 17Д§ Exact test: Multiple Regression - random model 18ДЎ0 F test: Fixed effects ANOVA - one way 24ДЎ1 F test: Fixed effects ANOVA - special, main effectsand interactions 26ДЎ2 t test: Linear Regression (size of slope, one group) 31ДЎ3 F test: Multiple Regression - omnibus (deviation ofR2 form zero), fixed model 34ДЎ4 F test: Multiple Regression - special (increase ofR2), fixed model 37ДЎ5 F test: Inequality of two Variances 40ДЎ6 t test: Correlation - point biserial model 41ДЎ7 t test: Linear Regression (two groups) 43ДЎ8 t test: Means - difference between two dependentmeans (matched pairs) 46ДЎ9 t test: Means - difference from constant (one sam-ple case) 48Дў0 t test: Means - difference between two independentmeans (two groups) 50Дў1 Wilcoxon signed-rank test: Means - difference fromconstant (one sample case) 51Дў2 Wilcoxon-Mann-Whitney test of a difference be-tween two independent means 54Дў4 c2 test: Variance - difference from constant (onesample case) 58Дў5 z test: Correlation - inequality of two independentPearson rs 59Дў6 z test: Correlation - inequality of two dependentPearson rs 60Дў7 Z test: Multiple Logistic Regression 64ДЎ IntroductionG*Power (Fig. We will be adding help on more tests in the future.

Gpower logistic regression